357 reputation
3 14

Stefano Bragaglia

Thanks to my PhD in Artificial Intelligence, I am interested in all aspects of:

  • Knowledge Representation and Reasoning (KRR),
  • Statistical Relational Learning (SRL),
  • Natural Language Processing (NLP),
  • Graph Theory (GT).

My main area of expertise includes:

  • Production Rule System (PRS) - Drools,
  • Logic Programming (LP) - Prolog,
  • Answer Set Programming (ASP) - Gringo/Clasp,
  • Probabilistic Reasoning - LPAD/ProbLog/Markov Logic Networks,
  • Knowledge Revision -- abductive, inductive and deductive reasoning.

I have work experience in:

  • Natural Language Processing (NLP)
    • NLP libraries (Stanford CoreNLP/ClearNLP/*Apache OpenNLP and personal tools),
    • Topic Extraction and Clustering,
    • Named Entity Recognition,
    • Entity Linking;
  • Machine Learning (ML)
    • Unsupervised and Supervised Algorithms,
    • ML Libraries (Apache Math/ML/Weka and personal tools),
    • mainly used in NLP and Computer Vision (CV);
  • Closed World Assumption (CWA)
    • Graph databases (Neo4j),
    • NoSQL databases (MongoDB and other JPA-based repositories),
    • SQL databases (MySQL, SQLLite, JDBC);
  • Open World Assumption (OWA)
    • RDF, OWL, etc. ontologies,
    • semantic tools like Protégé/Pellet/Jena,
  • realtime Expert Systems (ES) / Decision Support Systems (DSS)
    • device for remote physiotherapy rehabilitation using CV,
    • recommendation system in eTourism,

I am proficient in many Java/JavaEE technologies and frameworks (Spring, Thymeleaf, Bootstrap) and I am also competent in other languages (C/C++, HTML/JavaScript, Python).

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